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useR! 2024
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In Person
8 - 11 July, 2024
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Please note: This schedule is automatically displayed in Central European Summer Time (UTC+02:00)To see the schedule in your preferred timezone, please select from the drop-down located at the bottom of the menu to the right.

IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

The virtual program will take place on 2 July. Please see the virtual schedule page for more information.
Poster Session clear filter
Wednesday, July 10
 

12:50 CEST

Poster Session: Guided Tours - Ambiorix - a web framework for R - John Coene, The Y Company
Wednesday July 10, 2024 12:50 - 13:50 CEST
The {ambiorix} package is a web framework for R inspired by express.js which allows building traditional web application, and RESTful APIs.
Speakers
JC

John Coene

Co-Founder, The Y Company
Wednesday July 10, 2024 12:50 - 13:50 CEST
Salzburg Foyer

12:50 CEST

Poster Session: Guided Tours - StatLearning: A Shiny App for Practicing Statistical Hypothesis Testing - Juan Claramunt, Leiden University
Wednesday July 10, 2024 12:50 - 13:50 CEST
With this poster, we want to introduce StatLearning, our shiny app for practicing diverse statistical tests. This app is a step forward in digital exercising. While many digital exercises only provide data and questions, StatLearning provides an individualized learning path. To do so, we analyzed the different types of students and their preferred learning styles (reading, watching, listening, etc.). Besides, apart from the data and questions, we provide the users with statistical definitions and help windows. These windows include written explanations and videos. Moreover, we consider the diverse student's abilities, allowing students to skip steps if their statistical abilities are advanced while providing extra help for students with lower skills. This way, we aim for students with low abilities to reach advanced skills by practicing. We aim to introduce StatLearning to other R users at the conference who might find it useful for their courses. Furthermore, we would like to receive feedback to improve our app. We have used this app for three years and keep improving it yearly. Therefore, any new suggestions are welcomed.
Speakers
avatar for Juan Claramunt

Juan Claramunt

Specialist in sciencific information, Leiden University
Bachelor in Mathematics at Universidad de Cantabria, Utrecht University & Brown University.Master in Methodology and Statistics for the Behavioural, Biomedical, and Social Sciences, & European Master in Official Statistics (Utrecht University).Scientific information specialist at... Read More →
Wednesday July 10, 2024 12:50 - 13:50 CEST
Salzburg Foyer

12:50 CEST

Poster Session: Guided Tours - Volcano.View: Building Dashboards That Aren't Slow - Michael Galanakis, Hasselt University / Novo Nordisk
Wednesday July 10, 2024 12:50 - 13:50 CEST
We introduce the R package volcano.view that allows users to create interactive dashboards for proteomics data. Proteomics results are high-dimensional, making interactive dashboards crucial for navigating the thousands of proteins. However, the many data points that need to render also introduced slow load times when using the R package Shiny. We therefore showcase an alternative approach using the JavaScript libraries React and D3. We compared the performance between volcano.view and shiny using Google's Lighthouse tool. The package was developed to visualize results from the SomaScan proteomics assay. The package is organized into modules that can add different functionality. It can include gene set enrichment results, as wells compare results from different studies. Although, the package was developed to be used on proteomics data, it can easily be used more broadly. Although, using React to develop your dashboard is more time consuming and requires more training for data scientists when compared to Shiny. It also offers tools for greatly improving performance. Researchers should be aware of this trade-off between performance and development time.
Speakers
avatar for Michael Galanakis

Michael Galanakis

Mr, Hasselt University / Novo Nordisk
Michael is an industrial PhD fellow working with Novo Nordisk and Hasselt university. He has experience working as a statistician in both clinical trials and epidemiological studies, where he has co-authored 9 peer-reviewed publications. He completed his bachelor's in mathematics... Read More →
Wednesday July 10, 2024 12:50 - 13:50 CEST
Salzburg Foyer

12:50 CEST

Poster Session: Guided Tours - WebApp Studio for productionizing shiny applications, rmakrdown and R Plumber APIs - Farid Azouaou, thaink²
Wednesday July 10, 2024 12:50 - 13:50 CEST
Webapp studio that gives the possibility to R developpers to build, test and deploy entreprise level shiny dashboards, rmakrdown reports and plumber APIs on a large scale (> 100 users) in a very intuitive fashion
Speakers
avatar for Farid Azouaou

Farid Azouaou

CTO, thaink²
A Data passionate with more than 10 years experience in the fields of analytics & AI for industry. I worked for different companies in different fields, the last one was at Mercedes-Benz Mobility before landing at thaink² as a CTO & Co-founder.I humbly consider myself an expert in... Read More →
Wednesday July 10, 2024 12:50 - 13:50 CEST
Salzburg Foyer

15:00 CEST

Poster Session: Open Viewing and Q&A - Ambiorix - a web framework for R - John Coene, The Y Company
Wednesday July 10, 2024 15:00 - 16:00 CEST
The {ambiorix} package is a web framework for R inspired by express.js which allows building traditional web application, and RESTful APIs.
Speakers
JC

John Coene

Co-Founder, The Y Company
Wednesday July 10, 2024 15:00 - 16:00 CEST
Salzburg Foyer

15:00 CEST

Poster Session: Open Viewing and Q&A - StatLearning: A Shiny App for Practicing Statistical Hypothesis Testing - Juan Claramunt, Leiden University
Wednesday July 10, 2024 15:00 - 16:00 CEST
With this poster, we want to introduce StatLearning, our shiny app for practicing diverse statistical tests. This app is a step forward in digital exercising. While many digital exercises only provide data and questions, StatLearning provides an individualized learning path. To do so, we analyzed the different types of students and their preferred learning styles (reading, watching, listening, etc.). Besides, apart from the data and questions, we provide the users with statistical definitions and help windows. These windows include written explanations and videos. Moreover, we consider the diverse student's abilities, allowing students to skip steps if their statistical abilities are advanced while providing extra help for students with lower skills. This way, we aim for students with low abilities to reach advanced skills by practicing. We aim to introduce StatLearning to other R users at the conference who might find it useful for their courses. Furthermore, we would like to receive feedback to improve our app. We have used this app for three years and keep improving it yearly. Therefore, any new suggestions are welcomed.
Speakers
avatar for Juan Claramunt

Juan Claramunt

Specialist in sciencific information, Leiden University
Bachelor in Mathematics at Universidad de Cantabria, Utrecht University & Brown University.Master in Methodology and Statistics for the Behavioural, Biomedical, and Social Sciences, & European Master in Official Statistics (Utrecht University).Scientific information specialist at... Read More →
Wednesday July 10, 2024 15:00 - 16:00 CEST
Salzburg Foyer

15:00 CEST

Poster Session: Open Viewing and Q&A - Volcano.View: Building Dashboards That Aren't Slow - Michael Galanakis, Hasselt University / Novo Nordisk
Wednesday July 10, 2024 15:00 - 16:00 CEST
We introduce the R package volcano.view that allows users to create interactive dashboards for proteomics data. Proteomics results are high-dimensional, making interactive dashboards crucial for navigating the thousands of proteins. However, the many data points that need to render also introduced slow load times when using the R package Shiny. We therefore showcase an alternative approach using the JavaScript libraries React and D3. We compared the performance between volcano.view and shiny using Google's Lighthouse tool. The package was developed to visualize results from the SomaScan proteomics assay. The package is organized into modules that can add different functionality. It can include gene set enrichment results, as wells compare results from different studies. Although, the package was developed to be used on proteomics data, it can easily be used more broadly. Although, using React to develop your dashboard is more time consuming and requires more training for data scientists when compared to Shiny. It also offers tools for greatly improving performance. Researchers should be aware of this trade-off between performance and development time.
Speakers
avatar for Michael Galanakis

Michael Galanakis

Mr, Hasselt University / Novo Nordisk
Michael is an industrial PhD fellow working with Novo Nordisk and Hasselt university. He has experience working as a statistician in both clinical trials and epidemiological studies, where he has co-authored 9 peer-reviewed publications. He completed his bachelor's in mathematics... Read More →
Wednesday July 10, 2024 15:00 - 16:00 CEST
Salzburg Foyer

15:00 CEST

Poster Session: Open Viewing and Q&A - WebApp Studio for productionizing shiny applications, rmakrdown and R Plumber APIs - Farid Azouaou, thaink²
Wednesday July 10, 2024 15:00 - 16:00 CEST
Webapp studio that gives the possibility to R developpers to build, test and deploy entreprise level shiny dashboards, rmakrdown reports and plumber APIs on a large scale (> 100 users) in a very intuitive fashion
Speakers
avatar for Farid Azouaou

Farid Azouaou

CTO, thaink²
A Data passionate with more than 10 years experience in the fields of analytics & AI for industry. I worked for different companies in different fields, the last one was at Mercedes-Benz Mobility before landing at thaink² as a CTO & Co-founder.I humbly consider myself an expert in... Read More →
Wednesday July 10, 2024 15:00 - 16:00 CEST
Salzburg Foyer
 

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